Software Engineer (Canvas, AI & Agentic Engineering)

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Instructure Hungary Kft.
Munkavégzés helye

Távmunka / Remote
Profession Prémium

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Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- TESTING REACT DOCKER CLOUD BACKEND DATABASES AWS POSTGRESQL JAVASCRIPT ANALYTICS RUBY MVC
Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

A hirdetés adatait sikeresen elküldte az email címére.

Responsibilities

Developing and maintaining mission-critical video processing, transcription, accessibility pipelines, and interactive analytics services using TypeScript, React, and Ruby on Rails
Building, refining, and deploying custom Claude skills, autonomous development workflows, and tool integrations that automate repetitive engineering tasks, generate synthetic test datasets, and accelerate the PR review cycle
Utilizing AWS primitives (S3, SQS, Lambda, CloudFront, EC2, RDS) to achieve high availability, low latency, and rock-solid uptime for media streaming and transcode queues across millions of global users
Partnering with product and UX teams to integrate intelligent, AI-enhanced features into Canvas

Requirements

3+ years of enterprise engineering experience building, testing, and maintaining distributed web applications in production environments
Hands-on agentic engineering expertise incorporating Claude, Cursor, Copilot, or LLM agentic toolchains into production engineering workflows, especially building custom skills, system prompts, automated code refactoring pipelines, or autonomous agent loops
Solid TypeScript and JavaScript proficiency building responsive, accessible, component-driven UIs in modern React
Practical experience with Ruby on Rails or strong proficiency in another modern MVC/backend framework with ability to quickly ramp up on Rails
Strong grasp of relational databases (PostgreSQL query optimization, migrations, indexing) and enterprise cloud deployments on AWS
Working knowledge of Docker, CI/CD pipelines, automated testing (unit, integration, end-to-end), and infrastructure-as-code principles

Nice-to-have

Direct experience building developer tools, CLI utilities, or MCP (Model Context Protocol) servers that interface with LLM agents
Understanding of Web Content Accessibility Guidelines (WCAG 2.1 AA) in enterprise educational applications

What we offer

Competitive compensation
Participation in ownership program for all full-time employees
Flexible work culture with remote, hybrid and in-office collaboration spaces varying by role, team and location
Generous time off including local holidays and annual “Dim the Lights” period in late December
Comprehensive wellness programs and mental health support
Learning and development resources including professional development tools and tuition reimbursement
Provision of technology and tools needed to do best work
Motivosity employee recognition program
A culture rooted in inclusivity, support, and meaningful connection

Company info

Instructure creates intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.